Ingest
SafetyKit ingests every user action via a lightweight SDK and API.
AI agents map the connections across every user, activity, and content item on your platform to stop fraud and scams.
SafetyKit ingests every user action via a lightweight SDK and API.
Our Network Foundation Model maps the connections between every user, action, interaction, and content item.
Behavioral models analyze signals of fraud and abuse, recalibrating in real time as new signals arrive.
AI agents automatically investigate and escalate cases, so teams only review what requires human expertise.
SafetyKit evaluates the whole actor across every action and interaction to detect harmful behavior that is often hidden or missed.
Predictive models re-evaluate each user and recalibrate with every new action and signal to uncover emerging risk.
New attacks and patterns detected anywhere across SafetyKit's network are automatically turned into protection for every platform.
AI agents handle the bulk of investigations and stop new attacks as they emerge, allowing your team to focus on strategy and the threats that matter.
SafetyKit's Network Foundation Model evaluates and learns what good and bad behavior looks like on your platform, so teams can stop a wide range of unwanted activity.
Learn how leading platforms deploy SafetyKit to automate their reviews and keep their users safer at scale.
See how Upwork automates the review of all job posts with SafetyKit before they go live, improving quality while reducing costs and manual review load.
See how Eventbrite leverages SafetyKit's AI agents to monitor all events and activity on their platform.